Measuring Designers’ Cognitive Load for Timely Knowledge Push via Eye Tracking

Abstract

Recognizing the moment when designers are experiencing heightened cognitive load contributes to capturing the time when designers require knowledge, allowing for timely knowledge push to improve performance. This study aimed to explore the feasibility of measuring designers’ cognitive load using eye tracking technology and present a framework for the time identification of knowledge push based on eye-based cognitive load measurement. An eye-tracking experiment was conducted to examine the influence of cognitive load on eye metrics and the efficacy of estimating designers’ cognitive load by measuring eye metrics. The eye-based cognitive load measurement showed more than 80% accuracy. Next, combined with the sliding window approach, a real-time identification method for knowledge push time based on cognitive load measurement was proposed. The push time can be determined in near-real time based on the moment designers experiencing heightened cognitive load. This study provides insights for improving intelligence and personalization of knowledge push services.